Social network on Nuxt 4, Postgres (Neon) and Supabase Auth
Social network: public profiles with @-handles, a directed follow graph, an authored-post feed, and per-post like edges.
79 files, 4 tables and 131 lines of schema, verified 2026-08-23 on Nuxt 4, Postgres (Neon) and Supabase Auth.
15 pinned upstream versions
request path. session validation runs in server components and route handlers, not at the edge
What you're getting
Nuxt 4 (framework mode): full-stack Vue SSR: client under app/ (Vite), server under server/ (Nitro), API as server/api/*.post.ts Nitro route handlers.
Postgres on Neon via Drizzle ORM and the postgres-js driver.
Supabase Auth: hosted identity (GoTrue) via the @supabase/ssr cookie client; email+password + OAuth.
Social network: public profiles with @-handles, a directed follow graph, an authored-post feed, and per-post like edges.
Setup
bun add nuxt vue drizzle-orm postgres @supabase/ssr @supabase/supabase-jsDATABASE_URLNeon pooled (-pooler) connection stringNEXT_PUBLIC_SUPABASE_URLNext: your Supabase project URL (RR: VITE_SUPABASE_URL · Nuxt: NUXT_PUBLIC_SUPABASE_URL)NEXT_PUBLIC_SUPABASE_ANON_KEYNext: the project's anon/public key (RR: VITE_SUPABASE_ANON_KEY · Nuxt: NUXT_PUBLIC_SUPABASE_ANON_KEY)SUPABASE_URLReact Router server-side (loaders): same project URL, read off process.env — never inlined into the client bundleSUPABASE_ANON_KEYReact Router server-side: same anon keyApply the schema with bunx drizzle-kit push
Initialization
Database client
Social network schema: profiles, follow graph, posts & likes
4 tables, 16 columns and 12 indexes and constraints, applied to a live Postgres (Neon) and asserted to materialize.
profiles6 columns · 4 indexedfollows3 columns · 3 indexedposts4 columns · 2 indexedpost_likes3 columns · 3 indexedWhat this schema is built to answer
profiles.handle is unique and separately covered by idx_profile_handle, so the URL segment is a single-row hit; profiles.user_id is a unique FK to user.id, making the hop between profile and account 1:1 in either direction.
idx_follow_following exists for the reverse direction of the edge: listing or counting everyone whose follows.following_id points at a user, without scanning the follow table.
The follows primary key is (follower_id, following_id), so everyone a viewer follows is a prefix scan of the key itself — no secondary index needed — and each author is then read through idx_post_author on posts.
idx_post_author narrows posts to one author_id. There is no (author_id, created_at) composite, so the newest-first ordering is a sort layered on the index hit rather than a range read.
post_likes is keyed (post_id, user_id): the leading column counts a post's likes, the full key answers the viewer's own like as a point lookup, and idx_post_likes_user inverts it into that user's liked-posts page.
Profiles & handlesone public profile per Better Auth user, with a unique @-handle and optional bio/avatar
Follows: the directed user graphdirected follower→following edges with a composite unique that prevents duplicate follows
Posts & the feedauthored feed posts keyed to a Better Auth user, indexed per-author for profile timeline queries
Post likespost↔user like edges with a composite unique enforcing one like per user per post
Deploy targets
The app UI
Decisions and compatibility
Client/server split: the DB client, Drizzle schema, records, and webhooks are server-side (server/). The `@/` alias is the client root (app/); server code reaches shared modules via Nuxt's `~~` rootDir alias (e.g. `~~/server/db/schema`).
The API layer is Nitro, Nuxt's server engine: endpoints are server/api/*.post.ts route handlers, and auth mounts as a Nitro catch-all that delegates to the auth library's framework-agnostic web handler.
Nuxt auto-imports components and composables at runtime, but the emitted server code imports h3 helpers (defineEventHandler, toWebRequest) EXPLICITLY — the one deliberate idiom trade so the handlers type-check under standalone tsc instead of relying on the auto-import magic.
Session gating runs in a Nitro server middleware (server/middleware/), which fires on every SSR and API request — the true security boundary, and a real server-side session check rather than a cookie-existence peek.
prepare: false is mandatory — Neon's pooled endpoint is PgBouncer in transaction mode, where server-side prepared statements break across the pool.
Drizzle is paired here (not Prisma): Prisma's prepared-statement reliance is incompatible with transaction-mode pooling.
Hosted: Supabase owns identity in its managed auth.users. This stack emits a LOCAL `user` mirror (db/auth-schema.ts) so app-type schemas can foreign-key `user` directly — keep it in sync with a Supabase trigger on auth.users (insert/update → public.user). The drizzle migration only owns the mirror table's shape, not the trigger.
Sessions are cookie-based (@supabase/ssr): the proxy refreshes them on every request; Server Components read the user via supabase.auth.getUser().
Both the follow edge (follower_id + following_id composite PK + unique) and the like edge (post_id + user_id composite PK + unique) carry explicit unique constraints — the constraint is the identity, not just a performance index.
Better Auth's user.id is text, not uuid; all four tables match that type on their FK columns rather than recasting, so joins never cross a type boundary.
How this stack fits together
On Nuxt 4 this stack puts its Postgres (Neon) client at server/lib/db.ts and the Supabase Auth instance at app/middleware/auth.ts and session checks in server/middleware/supabase.ts. Those are the paths this framework's adapter actually emits, not a shared convention: the same Social network schema and the same Supabase Auth wiring land somewhere different on each of the other frameworks in the registry.
Supabase Auth owns its identity tables in the same database as profiles, follows, posts and post_likes, so the foreign keys reference the local user row directly and a delete cascades through them. No mirror, no webhook, and no window where the two stores disagree.
Postgres (Neon) stores those surrogate keys as uuid, so every foreign key across the 4 tables and 16 columns below is a uuid column. The migration was applied to a live Postgres (Neon) and the tables asserted, not just type-checked.
Social network
Better Auth's user row is the account; profiles is the face that account shows. The split is deliberate: profiles.user_id is a unique text FK, so the mapping is strictly one-to-one, but posts.author_id, follows.follower_id, follows.following_id and post_likes.user_id all reference user.id rather than profiles.id. Authorship is keyed to the account, while the handle, bio and avatar are a separate row you join in for display. Every one of those FKs cascades on delete, so removing an account clears its profile, both directions of its follow edges, its posts and its likes in a single statement — there is no orphan sweep to write. The graph itself is two edge tables, and both make the edge its own identity.
follows has no surrogate key: (follower_id, following_id) is the primary key, and follows_follower_following_unique restates the same rule. You cannot follow the same account twice, and direction matters — following back inserts a second, separate row. post_likes is shaped identically, with (post_id, user_id) as the composite primary key plus post_likes_post_user_unique. Neither table caches a count; follower totals and like totals are aggregates over the edges themselves. The cost of that shape is worth knowing before you build on it. A home feed is fan-out-on-read: take the follower-side prefix of the follows primary key to get everyone a viewer follows, then read each author through idx_post_author.
posts carries only idx_post_author — no (author_id, created_at) composite and no index on created_at alone — so newest-first ordering is a sort on top of the index hit, which is fine at seed scale and the first thing to revisit under load. Likes read better: (post_id, user_id) leads with post_id, so counting a post's likes and answering whether the current viewer already liked it both ride the same key, and idx_post_likes_user runs the relation backwards for a liked-posts page. handle is unique and separately covered by idx_profile_handle, which is what keeps an /@name route a single-row lookup.
Nuxt 4
Nuxt 4 in framework mode is the one stack here with two roots. Client code lives under app/ and is what `@/` points at (Vite, Vue single-file components); server code lives under server/ and is run by Nitro, Nuxt's server engine. The database layer is server-side, so initCode writes server/lib/db.ts and the schema, record modules and webhooks land under server/db/ and server/api/ — server modules reach each other through Nuxt's `~~` rootDir alias (`~~/server/lib/db`, `~~/server/db/schema`), never through `@/`. That split earns its keep with secrets: the Resend send client belongs to ~~/server/lib/email, and nothing under app/ can import it by accident. The API layer is Nitro rather than a React-shaped route file.
server/api/webhooks/polar.post.ts is a POST endpoint; auth mounts as the catch-all server/api/auth/[...all].ts, which adapts the H3 event with toWebRequest(event) and hands the resulting web Request to the auth library's framework-agnostic handler. Nuxt auto-imports defineEventHandler and its siblings at runtime, but the emitted server files import them from h3 explicitly — one deliberate idiom trade so every handler type-checks under standalone tsc. Session gating is a Nitro server middleware at server/middleware/auth.ts. It fires on every SSR render and every API request, filters on pathname prefixes (/dashboard, /settings), performs the real auth.api.getSession() lookup, and answers with sendRedirect(event, "/sign-in", 302). Because Nitro sits in front of both the rendered page and the endpoints, that is a genuine security boundary rather than a cheap pre-render bounce.
On the client, Vue does its own thing: the auth binding exposes signIn/signUp/useSession as Vue refs, screens are .vue components under app/pages/ (sign-in.vue, dashboard/[id].vue), chrome lives in app/components/ and app/layouts/, and SPA-side guards are app/middleware/*.ts. The design system is shadcn-vue on reka-ui — a real re-port, not the React components wearing new names — and it is checked with vue-tsc, since plain tsc cannot parse an SFC.
Postgres (Neon)
Postgres here is Neon reached through postgres-js, with Drizzle's pg-core dialect on top: drizzle({ client }) over a single module-level postgres(DATABASE_URL, { prepare: false }). That flag is not a preference. Neon's pooled (-pooler) endpoint is PgBouncer in transaction mode, where a backend is handed to a different session between statements, so server-side prepared statements break across the pool — and the same constraint is why this axis pairs with Drizzle rather than Prisma. One client per module is enough: PgBouncer and the runtime do the pooling, so there is no globalThis singleton dance. The schemas built on this dialect make three recurring type decisions. Primary keys are uuid(...).primaryKey().defaultRandom(), so ids come from the database. Timestamps are timestamp(..., { withTimezone: true }).defaultNow() — timestamptz, an absolute instant.
Closed value sets are text plus a CHECK constraint rather than pgEnum, so shipping a new role or subscription status is an ordinary constraint change instead of an ALTER TYPE migration. Counters are bigint({ mode: "number" }), and Better Auth's text user.id is referenced as text by the app tables rather than recast. Operationally, transaction-mode pooling forbids anything that spans statements on one backend: LISTEN/NOTIFY, session-scoped SET, advisory-lock sessions, WITH HOLD cursors. Those paths use Neon's direct endpoint instead. The connection client also changes with the deploy target — max: 1 per short-lived serverless instance, a real reused pool (max 10, idle_timeout 20) in a long-running Node process, and on Cloudflare Workers postgres-js is replaced outright by @neondatabase/serverless over HTTP, because Workers have no TCP sockets.
The capability that exists only on this side of the matrix is row-level security. Multi-tenant schemas ship ENABLE plus FORCE ROW LEVEL SECURITY with policies keyed on current_setting('app.current_org_id', true), which withTenant() sets per transaction — unset context yields no rows, so isolation fails closed inside the database rather than in application code. It requires a dedicated NOBYPASSRLS role: Neon's default neondb_owner carries BYPASSRLS, and connecting as it makes every policy silently inert.
Supabase Auth
Supabase Auth is a hosted service — GoTrue — that your app reaches over cookies rather than an SDK session object. Credentials and the canonical user records live in Supabase's managed auth.users schema. What lands in your own database is a mirror: db/auth-schema.ts declares user keyed by the Supabase auth uid (text; varchar(255) on MySQL) with email, full name, avatar URL and timestamps, so app-type schemas can foreign-key user exactly as they would under a self-hosted auth. Unlike the Clerk fragment, no sync webhook is emitted here, because Supabase's own trigger mechanism is the intended path: a trigger on auth.users writing into public.user lives in the Supabase project, not in the drizzle migration.
The migration owns the mirror's column shape and nothing else, so wiring that trigger is a step you take before those foreign keys mean anything. The mechanic that actually shapes this adapter is cookie refresh. @supabase/ssr rotates the auth token, and a rotated cookie only reaches the browser if something writes it onto the outgoing response — which is why every framework branch is built around the same getAll/setAll pair, wired to whatever that framework calls a cookie jar. Next's src/proxy.ts rebuilds the NextResponse inside setAll before calling getUser().
React Router has no middleware layer, so app/lib/supabase/server.ts constructs the client per request and returns { supabase, headers }, and the protected layout route attaches those headers to both exits — the redirect and the pass-through — so a refresh that happened during a guard is not lost. Nuxt's server/utils/supabase.ts binds the client to the h3 event and writes through setCookie, with a Nitro middleware doing the guard. Every decision point calls supabase.auth.getUser(), never getSession(): getSession reads whatever the cookie claims, getUser revalidates it against Supabase. Because a browser client is emitted alongside the server one, the auth screens are real forms calling supabase.auth.signInWithPassword rather than a hosted widget, and the sidebar's user menu subscribes to onAuthStateChange. Two consequences to plan around.
The anon key is public by design and is inlined into the client bundle under whichever prefix the framework demands (NEXT_PUBLIC_, VITE_, NUXT_PUBLIC_), so protection has to come from row-level security on Supabase's side, not from keeping the key quiet. And every guard is a network call to Supabase, not a local query — cheap, but not free, and on the path of every protected request.
